Theoretical and Experimental Research on an Optimal Control for a Magnetorheological Shock Mitigation System
Abstract
:1. Introduction
2. Damping Force Characteristics of MREA under Impact Load
2.1. Design and Manufacture an MREA
2.2. Magnetic Field Simulation of the MREA
2.3. Damping Force Model of the MREA
- (1)
- Entrance effect for flow from region A1 to A2;
- (2)
- Exit effect for flow from region A2 to A3.
2.4. Experimental Setup for Damping Force
3. The Algorithm Design of Optimal Generalized Bingham Number Control
4. Comparison of Control Effect between BN Control and GBN Control
4.1. Simulation Results
4.2. Experimental Results
5. Conclusions
- The GBN control can achieve a soft landing accurately.
- The damping force of an MREA is proportional to the square of piston velocity at high sink rate.
- The quadratic GBN control strategy is superior to the linear BN control strategy in terms of soft-landing control accuracy. Limited by the accuracy of the damping force model, the BN control caused either an end-stop impact or incomplete exploitation of the available stroke.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Parameter | Symbol | Value |
---|---|---|
Diameter of the cylinder (m) | Dp | 63 × 10−3 |
Diameter of piston (m) | Din | 49 × 10−3 |
Diameter of piston rod (m) | Dr | 30 × 10−3 |
Length of magnetic core (m) | La | 30 × 10−3 |
Length of coil (m) | Lc | 30 × 10−3 |
Thickness of gap (m) | d | 2.5 × 10−3 |
Turns of coil winding (Turns) | N | 400 |
Magnetic Field Intensity, H (A/m) | Magnetic Flux Density, B (T) |
---|---|
164 | 0.2 |
245 | 0.4 |
365 | 0.6 |
545 | 0.8 |
813 | 1 |
1213 | 1.2 |
1809 | 1.4 |
2996 | 1.6 |
Magnetic Field Intensity, H (kA/m) | Magnetic Flux Density, B (T) |
---|---|
10 | 0.088 |
30 | 0.221 |
50 | 0.35 |
70 | 0.437 |
90 | 0.527 |
110 | 0.59 |
130 | 0.653 |
150 | 0.7 |
170 | 0.75 |
200 | 0.829 |
240 | 0.91 |
280 | 1.103 |
320 | 1.108 |
Control Method | Yield Force (kN) | Control Current (A) |
---|---|---|
GBN | 1.994 | 1.366 |
BN1 | 1.334 | 0.937 |
BN2 | 2.33 | 2.33 |
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Wang, M.; Lu, D.; Xu, Y.; Guo, Y.; Li, B.; Wereley, N.M. Theoretical and Experimental Research on an Optimal Control for a Magnetorheological Shock Mitigation System. Appl. Sci. 2024, 14, 7317. https://doi.org/10.3390/app14167317
Wang M, Lu D, Xu Y, Guo Y, Li B, Wereley NM. Theoretical and Experimental Research on an Optimal Control for a Magnetorheological Shock Mitigation System. Applied Sciences. 2024; 14(16):7317. https://doi.org/10.3390/app14167317
Chicago/Turabian StyleWang, Mukai, Duhui Lu, Yeyin Xu, Yunfei Guo, Bing Li, and Norman M. Wereley. 2024. "Theoretical and Experimental Research on an Optimal Control for a Magnetorheological Shock Mitigation System" Applied Sciences 14, no. 16: 7317. https://doi.org/10.3390/app14167317